Storm-time variability of terrestrial hydrogen exosphere: kinetic simulation results

Recent studies of TWINS Lyman- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m1"><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow></mml:math> observations have reported an increase in geocoronal column brightness during geomagnetic storms, indicating enhanced exospheric hydrogen atom density ( N H ). This suggests a complex role of exospheric neutrals in determining storm-time magnetosphere dynamics and their energy release through charge-exchange processes. We developed a Model for Analyzing Terrestrial Exosphere (MATE) to investigate storm-time exospheric behaviors and their physical drivers. MATE traces test hydrogen atoms backward in time from locations in the exosphere to a nominal exobase altitude of 500 km, employing Newtonian mechanics with gravitational force. The model then calculates the phase-space densities (PSDs) of test hydrogen atoms at the exobase using the Maxwellian distribution with physics-based exobase conditions from the TIMEGCM upper atmosphere model. MATE maps PSDs at the exobase to the exosphere using Liouville’s Theorem under collisionless assumptions and derives N H by integrating the PSDs across velocity space. We conducted MATE simulation before, during, and after a minor geomagnetic storm from 12 to 18 June 2008, and compared the model results with N H estimates from the TWINS geocorona data. MATE reproduces storm-time density enhancements soon after the minimum Dst is reached, matching well with a general trend of TWINS N H estimates. The results suggest that upper atmospheric heating during a geomagnetic storm increases the number of ballistic and escaping hydrogen atoms entering the exosphere from the exobase, thereby boosting N H . However, the magnitude of modeled N H mismatches the TWINS N H estimates. The potential mechanisms of this density discrepancy include the physics excluded in the MATE model — such as neutral-neutral collisions, neutral-plasma charge exchange, solar radiation pressure, and photoionization — as well as the higher exobase hydrogen density of TIMEGCM compared to typical empirical values, which will be addressed in future.

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Publication Details

Journal
Frontiers in Astronomy and Space Sciences
Published
2024-09-17
DOI
https://doi.org/10.3389/fspas.2024.1421196
Citations
4
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
1.33

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article

Storm-time variability of terrestrial hydrogen exosphere: kinetic simulation results

Hyunju Connor, Gonzalo Cucho‐Padin, E. K. Sutton, Liying Qian et al.
4 citations
Frontiers in Astronomy and Space Sciences
Ionosphere and magnetosphere dynamics
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article

Storm-time variability of terrestrial hydrogen exosphere: kinetic simulation results

Hyunju Connor, Gonzalo Cucho‐Padin, E. K. Sutton, Liying Qian, Jaewoong Jung, SangYun Lee, M. V. Crow
article en
4 citations

Abstract

Recent studies of TWINS Lyman- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m1"><mml:mrow><mml:mi mathvariant="normal">α</mml:mi></mml:mrow></mml:math> observations have reported an increase in geocoronal column brightness during geomagnetic storms, indicating enhanced exospheric hydrogen atom density ( N H ). This suggests a complex role of exospheric neutrals in determining storm-time magnetosphere dynamics and their energy release through charge-exchange processes. We developed a Model for Analyzing Terrestrial Exosphere (MATE) to investigate storm-time exospheric behaviors and their physical drivers. MATE traces test hydrogen atoms backward in time from locations in the exosphere to a nominal exobase altitude of 500 km, employing Newtonian mechanics with gravitational force. The model then calculates the phase-space densities (PSDs) of test hydrogen atoms at the exobase using the Maxwellian distribution with physics-based exobase conditions from the TIMEGCM upper atmosphere model. MATE maps PSDs at the exobase to the exosphere using Liouville’s Theorem under collisionless assumptions and derives N H by integrating the PSDs across velocity space. We conducted MATE simulation before, during, and after a minor geomagnetic storm from 12 to 18 June 2008, and compared the model results with N H estimates from the TWINS geocorona data. MATE reproduces storm-time density enhancements soon after the minimum Dst is reached, matching well with a general trend of TWINS N H estimates. The results suggest that upper atmospheric heating during a geomagnetic storm increases the number of ballistic and escaping hydrogen atoms entering the exosphere from the exobase, thereby boosting N H . However, the magnitude of modeled N H mismatches the TWINS N H estimates. The potential mechanisms of this density discrepancy include the physics excluded in the MATE model — such as neutral-neutral collisions, neutral-plasma charge exchange, solar radiation pressure, and photoionization — as well as the higher exobase hydrogen density of TIMEGCM compared to typical empirical values, which will be addressed in future.

Frontiers in Astronomy and Space SciencesVol. 11
NSF NCAR High Altitude Observatory (US), Goddard Space Flight Center (US), University of Alaska Fairbanks (US), University of America (US), University of Colorado Boulder (US), University of Maryland, College Park (US), Catholic University of America (US)
National Aeronautics and Space Administration, Nuclear Safety and Security Commission, Marshall Space Flight Center, Heliophysics Division
Openalex Percentile: Top 20%
Ionosphere and magnetosphere dynamics
1.33
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